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Enhancing the stress test ECG signal for real-time QRS detector

Pham, Manh Thang and Hoang, Van Manh and Dang, Anh Viet (2019) Enhancing the stress test ECG signal for real-time QRS detector. In: The 5th International Conference on Engineering Mechanics and Automation, 11-12 October 2019, Hanoi. (In Press)

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The Electrocardiogram (ECG) signal, which is a record of the electrical activity of the heart, can be treated as a combination of a free-noise signal and noises. The primary source of interference in the ECG recording during exercise is broadband myopotentials (EMG), contained in a full frequency band. Because the frequency ranges of both signals (ECG and EMG) overlap, band-stop filters distort the ECG signal, especially of QRS complexes. An alternative method of removing interference may be using Adaptive Wavelet Wiener Filter (AWWF) with noise-free signal estimation. As a result of a straightforward wavelet transform, it is possible to extract noise with some components of the QRS complex in the highest frequency bands. The central part of the QRS components is in the lower frequency bands. The resulting signal can be filtered by matching the transform coefficients. Testing was performed on muscle (EMG) artifact noised signals from the MIT-BIH Noise Stress Test Database at 360 Hz sampling frequency.

Item Type: Conference or Workshop Item (Paper)
Subjects: Electronics and Communications > Electronics and Computer Engineering
Divisions: Faculty of Engineering Mechanics and Automation (FEMA)
Depositing User: Van Manh Hoang
Date Deposited: 24 Dec 2019 04:44
Last Modified: 26 Dec 2019 11:09

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